Tensor2Tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. - tensorflow/tensor2tensor
Tensor2Tensor Alternatives
The best Tensor2Tensor alternatives based on verified products, community votes, reviews and other factors.
Latest update:
-
Select Target Platform Click on the green buttons that describe your target platform.
-
Open source deep learning platform that provides a seamless path from research prototyping to...
-
Warm up your cold email inbox, and never land in spam anymore!
-
TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
-
Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
-
MLKit is a simple machine learning framework written in Swift.
-
FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
-
Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated
-
No-code artificial intelligence for all
-
ABBYY's leading AI and machine learning technology solutions range from process analysis, data capture, pdf editor, text and content recognition (OCR) and extraction, combining process and content insights to deliver digital intelligence.
-
scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
-
Xcode is Apple’s powerful integrated development environment for creating great apps for Mac, iPhone, and iPad. Xcode 4 includes the Xcode IDE, instruments, iOS Simulator, and the latest Mac OS X and iOS SDKs.
-
Write better everywhere with Outwrite's proofreading and paraphrasing tool.
-
Clear. Fast. Unlimited. Residential & Mobile Proxies For Best Price .